Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TXURRUKA Amets | 58 |
| 2 | DIDIER Laurent | 68 |
| 3 | HERNÁNDEZ BLÁZQUEZ Jesús | 58 |
| 4 | CARDOSO André | 56 |
| 5 | HERRADA José | 65 |
| 6 | COBO Juan José | 62 |
| 7 | MALORI Adriano | 68 |
| 8 | COSTA Rui | 69 |
| 9 | VOIGT Jens | 76 |
| 10 | ZAUGG Oliver | 58 |
| 11 | QUINTANA Nairo | 58 |
| 12 | ROGERS Michael | 74 |
| 13 | CASTROVIEJO Jonathan | 62 |
| 14 | MEIER Christian | 61 |
| 15 | BARDET Romain | 65 |
| 16 | PIEDRA Antonio | 61 |